Michael Gastegger
4 papers · 2019–2023 · 2 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (2) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (6)
🌉
Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(13)
📈
Trend Setter
Conferences
ICML (2)
NIPS (2)
Top co-authors
Keywords
graph neural network
(2)
point cloud
(1)
geometric deep learning
(1)
model interpretability
(1)
max-product algorithm
(1)
probabilistic graphical model
(1)
quantum chemistry
(1)
molecular generation
(1)
equivariant representation
(1)
point cloud processing
(1)
molecular property prediction
(1)
message passing neural network
(1)
rotational invariance
(1)
generative neural network
(1)
layer-wise relevance propagation
(1)
walk search
(1)
tensorial property
(1)
molecular spectra
(1)
wavefunction prediction
(1)
tensorial properties
(1)
Papers
Relevant Walk Search for Explaining Graph Neural Networks
ICML 2023
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities
NIPS 2021
Equivariant message passing for the prediction of tensorial properties and molecular spectra
ICML 2021
Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules
NIPS 2019